Security Hub CSPM 조사 결과에 대한 Security Lake 쿼리 예제

Security Hub CSPM은의 보안 상태에 대한 포괄적인 보기를AWS제공하며 보안 업계 표준 및 모범 사례를 기준으로 환경을 확인하는 데 도움이 됩니다. Security Hub CSPM은 보안 검사에 대한 조사 결과를 생성하고 타사 서비스로부터 조사 결과를 수신합니다.

다음은 Security Hub CSPM 조사 결과의 몇 가지 예제 쿼리입니다.

지난 7일간의 심각도가 MEDIUM이상인 새로운 조사 결과

SELECT 
      time,
      finding,
      severity
    FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0_findings
    WHERE eventDay BETWEEN cast(date_format(current_timestamp - INTERVAL '7' day, '%Y%m%d%H') as varchar) and cast(date_format(current_timestamp - INTERVAL '0' day, '%Y%m%d%H') as varchar) 
      AND severity_id >= 3
      AND state_id = 1
    ORDER BY time DESC
    LIMIT 25

지난 7일간의 중복된 조사 결과

SELECT 
    finding.uid,
    MAX(time) AS time,
    ARBITRARY(region) AS region,
    ARBITRARY(accountid) AS accountid,
    ARBITRARY(finding) AS finding,
    ARBITRARY(vulnerabilities) AS vulnerabilities
FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0
WHERE eventDay BETWEEN cast(date_format(current_timestamp - INTERVAL '7' day, '%Y%m%d%H') as varchar) and cast(date_format(current_timestamp - INTERVAL '0' day, '%Y%m%d%H') as varchar)
GROUP BY finding.uid
LIMIT 25

지난 7일간의 모든 정보 외 조사 결과

SELECT 
      time,
      finding.title,
      finding,
      severity
    FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0
    WHERE severity != 'Informational' and eventDay BETWEEN cast(date_format(current_timestamp - INTERVAL '7' day, '%Y%m%d%H') as varchar) and cast(date_format(current_timestamp - INTERVAL '0' day, '%Y%m%d%H') as varchar)
    LIMIT 25

리소스가 Amazon S3 버킷인 경우 조사 결과 (시간 제한 없음)

SELECT *
   FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0
   WHERE any_match(resources, element -> element.type = 'amzn-s3-demo-bucket')
   LIMIT 25

CVSS (Common Vulnerability Scoring System) 점수가 1 (시간 제한 없음) 보다 높은 조사 결과

SELECT *
   FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0
   WHERE any_match(vulnerabilities, element -> element.cve.cvss.base_score > 1.0)
   LIMIT 25

일반적인 취약성 및 노출도 (CVE) CVE-0000-0000와 일치하는 조사 결과 (시간 제한 없음)

SELECT *
    FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0
    WHERE any_match(vulnerabilities, element -> element.cve.uid = 'CVE-0000-0000')
    LIMIT 25

지난 7일 동안 Security Hub CSPM에서 조사 결과를 보내는 제품 수

SELECT 
      metadata.product.feature.name,
      count(*)
    FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0
    WHERE eventDay BETWEEN cast(date_format(current_timestamp - INTERVAL '7' day, '%Y%m%d%H') as varchar) and cast(date_format(current_timestamp - INTERVAL '0' day, '%Y%m%d%H') as varchar)
    GROUP BY metadata.product.feature.name
    ORDER BY metadata.product.feature.name DESC
    LIMIT 25

지난 7일간의 조사 결과에 포함된 리소스 유형 수

SELECT 
      count(*),
      resource.type
    FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0
        CROSS JOIN UNNEST(resources) as st(resource)
    WHERE eventDay BETWEEN cast(date_format(current_timestamp - INTERVAL '7' day, '%Y%m%d%H') as varchar) and cast(date_format(current_timestamp - INTERVAL '0' day, '%Y%m%d%H') as varchar)
    GROUP BY resource.type
    LIMIT 25

지난 7일간의 조사 결과에서 나온 취약한 패키지

SELECT 
      vulnerability
    FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0,
    UNNEST(vulnerabilities) as t(vulnerability)  
    WHERE vulnerabilities is not null
    LIMIT 25

지난 7일 동안 변경된 조사 결과

SELECT 
    finding.uid,
    finding.created_time,
    finding.first_seen_time,
    finding.last_seen_time,
    finding.modified_time,
    finding.title,
    state
    FROM amazon_security_lake_glue_db_us_east_1.amazon_security_lake_table_us_east_1_sh_findings_1_0
    WHERE eventDay BETWEEN cast(date_format(current_timestamp - INTERVAL '7' day, '%Y%m%d%H') as varchar) and cast(date_format(current_timestamp - INTERVAL '0' day, '%Y%m%d%H') as varchar)
    LIMIT 25